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Modelling the impacts of climate change and crop management measures on soybean phenology in China 期刊论文  OAI收割
JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 262, 页码: 11
作者:  
Liu, Yujie;  Dai, Liang
  |  收藏  |  浏览/下载:23/0  |  提交时间:2021/03/23
Modelling the impacts of climate change and crop management measures on soybean phenology in China 期刊论文  OAI收割
JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 262, 页码: 11
作者:  
Liu, Yujie;  Dai, Liang
  |  收藏  |  浏览/下载:14/0  |  提交时间:2021/03/23
Individual Differences in Holistic Processing Predict Face Recognition Ability 期刊论文  OAI收割
PSYCHOLOGICAL SCIENCE, 2012, 卷号: 23, 期号: 2, 页码: 169-177
作者:  
Wang, Ruosi;  Li, Jingguang;  Fang, Huizhen;  Tian, Moqian;  Liu, Jia
收藏  |  浏览/下载:36/0  |  提交时间:2015/07/24
Features extraction and matching of teeth image based on the SIFT algorithm (EI CONFERENCE) 会议论文  OAI收割
2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012, July 27, 2012 - July 29, 2012, Shenyang, China
作者:  
Wang X.;  Wang X.;  Wang X.
收藏  |  浏览/下载:28/0  |  提交时间:2013/03/25
Using of SIFT algorithm in the image of teeth model  can detect the features of the teeth image effectively. In this approach  first  search over all scales and image locations by using a difference-of-Gaussian function to identify potential interest points that are invariant to scale and orientation. Second  select keypoints based on measures of their stability and a detailed model is fit to determine location and scale at each candidate location. Third  assign one or more orientations to each keypoint location based on local image gradient directions. Last  measure the local image gradients at the selected scale in the region around each keypoint. And then use the KNN algorithm to match the features. Through lots of experiments and comparing with other feature extraction methods  this method can detect the features of the teeth model effectively  and offer some available parameters for 3D reconstruction of the teeth model. the authors.  
Inhibition of electromagnetic interference in control system based on DSP of high-power TEA CO2 laser (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
作者:  
Meng F.-J.;  Guo L.-H.;  Wang H.-Q.
收藏  |  浏览/下载:40/0  |  提交时间:2013/03/25
The strong electromagnetic interference (EMI) generated in high-power TEA C02 laser system mainly comes from main discharge circuit  pulse spark switch and power supply. Such strong EMI causes great damage and interference to the control system based on DSP. In this paper  we present the interference sources and their distribution and propose the methods of anti-interference. Measures for hardware design include weakening transient ground potential difference by using equipotential lines between devices  using signal isolation interface to inhibit the transient ground potential interference  and rational layout  shielding and filtering to the control system. And methods for software design include range-limited filter  self-diagnosis and self-repair for the critical data and anti-interference during abnormal reset. The EMI has been inhibited effectively by the anti-interference method proposed above. The result shows that: the software anti-interference method is as important as the hardware anti-interference method for the control system in a complex environment of strong EMI. 2010 IEEE.